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Initial Blueprint G4 - #4685
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Initial Blueprint G4#4685
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This pull request introduces a new ml-slurm-g4 blueprint, which is a valuable addition for users looking to deploy GPU-based machine learning workloads on Slurm. The configuration is mostly well-structured. My review includes a few suggestions to improve it. The most important ones are to ensure that the Slurm controller and login nodes use the same custom OS image as the compute nodes for a consistent environment. I've also pointed out a couple of opportunities to clean up the configuration by removing an extraneous key and some verbose network settings. Overall, these are good changes that will provide a useful example to users.
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ml-slurm-g4blueprint for GPU-based ML workloads.This change introduces a new example blueprint,
ml-slurm-g4, to deploy a Slurm cluster optimized for machine learning workloads on Google Cloud.The blueprint provisions the following resources:
g4_partition) withg4-standard-48machine types.slurm-gcp-6-11-ubuntu-2204-lts-nvidia-570image family.This provides users with a reference architecture for setting up a performant, GPU-enabled HPC environment for machine learning applications.